Keeping Fresh
Today Steve Jones talks about how you might be able to help keep your employees excited and happy with their jobs.
Today Steve Jones talks about how you might be able to help keep your employees excited and happy with their jobs.
In part II of this series, Sioban Krzywicki shows us another way Tally Tables have helped solve problems - Text Parsing.
Marcin Policht demonstrates how to leverage SQL Server Integration Services (SSIS) package variables in order to modify SSIS properties without directly editing package content.
Phil Factor takes a sideways look at Houston, a new tool for building SQL Azure applications, and is somewhat underwhelmed by what he finds.
A webinar from the PASS Performance VC on Aug 3, 2010
A survey shows the majority of IT administrators have snooped for data on their networks. Steve Jones reminds us to be professionals, each and every day.
In the first part of a series on Tally Tables, Sioban Krzywicki shows how a Tally Table has helped out with fiscal year calculations.
Let's face it: requirements change. There is usually a lot of churn during the design and initial development stages, but changes can happen to mature applications, too. The key is to introduce those changes with the least amount of effort and risk.
There is no shortage of events that you can attend this fall and many of them are looking for speakers. If you've solved a problem at work, maybe you want to present a solution at one of these great events.
By Steve Jones
We had an interesting discussion about deployments in databases and how you go forward...
By ChrisJenkins
You could be tolerating limited reporting because there isn’t an off the shelf solution...
A while back I wrote a quick post on setting up key mappings in...
Comments posted to this topic are about the item Remotely Engineer Fabric Lakehouse objects:...
Comments posted to this topic are about the item Creating JSON III
Comments posted to this topic are about the item Testing is Becoming More Important
In a SQL Server 2025 table, called Beer, I have this data:
BeerIDBeerName 1Becks 2Fat Tire 3Mac n Jacks 4Alaskan Amber 8KirinI run this code:
SELECT JSON_OBJECTAGG(
BeerID: BeerName )
FROM beer;
What are the results? See possible answers